Triple
T18254170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Continental AG |
E437177
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Sportiva |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sportiva | Statement: [Continental AG, hasBrand, Sportiva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sportiva Context triple: [Continental AG, hasBrand, Sportiva]
-
A.
Sportiva
chosen
Sportiva is a tire brand owned by Continental AG, offering budget-friendly tires for everyday driving needs.
-
B.
Sportivnaya
Sportivnaya is a Moscow Metro station located near the Luzhniki sports complex, serving as a key access point to major athletic and event venues in the city.
-
C.
Allsport
Allsport was a prominent sports photography agency known for its extensive coverage of major sporting events worldwide.
-
D.
Sport S
Sport S is a mid-level trim package for the Jeep Gladiator that adds enhanced comfort, convenience, and appearance features over the base model.
-
E.
Sporting
Sporting is the commonly used short name for Sporting Kansas City, a professional Major League Soccer club based in the Kansas City metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd82f81c81909ad4455954bd8caa |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 10:33 a.m.